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bargaining agreement for the American Federation of State, County and Municipal Employees (AFSCME) which can be found at: https://afscmemn.org/St. Cloud State University is committed to excellence and actively
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). Experience with cloud platforms and services, particularly AWS. Knowledge of containerisation technologies (Docker, ECS) and serverless computing (Lambda). Understanding of monitoring and observability tooling
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 5 hours ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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environments. This role is instrumental in advancing the University’s cloud strategy, ensuring best practices for security and compliance, and integrating cloud services with on-premises infrastructure. Work
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Department of Computing is seeking a dedicated and skilled individual to manage our internal large-scale GPU infrastructure and cloud facilities. The Department of Computing wishes to recruit a
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of system reports, dashboards, data integrations, cloud platforms, and process improvements, The candidate will promote a secure computing environment and assist with the training of staff. As a member of a
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bargaining agreement for the American Federation of State, County and Municipal Employees (AFSCME) which can be found at: https://afscmemn.org/St. Cloud State University is committed to excellence and actively
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research and development agenda for computing facilities, advancing the transition from traditional HTC architectures to modern cloud-native systems, federated operational models, and AI-assisted monitoring
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Department of Computing is seeking a dedicated and skilled individual to manage our internal large-scale GPU infrastructure and cloud facilities. About the role The Department of Computing wishes